{"title":"基于多道小波的位图图像处理并行算法","authors":"U. Khamdamov, Hakimjon Zaynidinov","doi":"10.1109/iccsn.2018.8488270","DOIUrl":null,"url":null,"abstract":"This paper is devoted to the research of bitmap image processing based on wavelet functions. The Daubechies wavelet function was used as a mathematical model for filtering, compression and smoothing of two-dimensional signals, because the analysis of existing wavelet functions showed that the Daubechies wavelet family is most effective for image processing. OpenMP parallel programming in C/C++ was used for the parallelization of computing processes in image processing problems.","PeriodicalId":243383,"journal":{"name":"2018 10th International Conference on Communication Software and Networks (ICCSN)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Parallel Algorithms for Bitmap Image Processing Based on Daubechies Wavelets\",\"authors\":\"U. Khamdamov, Hakimjon Zaynidinov\",\"doi\":\"10.1109/iccsn.2018.8488270\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is devoted to the research of bitmap image processing based on wavelet functions. The Daubechies wavelet function was used as a mathematical model for filtering, compression and smoothing of two-dimensional signals, because the analysis of existing wavelet functions showed that the Daubechies wavelet family is most effective for image processing. OpenMP parallel programming in C/C++ was used for the parallelization of computing processes in image processing problems.\",\"PeriodicalId\":243383,\"journal\":{\"name\":\"2018 10th International Conference on Communication Software and Networks (ICCSN)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 10th International Conference on Communication Software and Networks (ICCSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iccsn.2018.8488270\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 10th International Conference on Communication Software and Networks (ICCSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iccsn.2018.8488270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel Algorithms for Bitmap Image Processing Based on Daubechies Wavelets
This paper is devoted to the research of bitmap image processing based on wavelet functions. The Daubechies wavelet function was used as a mathematical model for filtering, compression and smoothing of two-dimensional signals, because the analysis of existing wavelet functions showed that the Daubechies wavelet family is most effective for image processing. OpenMP parallel programming in C/C++ was used for the parallelization of computing processes in image processing problems.